1. assignment/~$near regression.docx
assignment/data sets/Description of UCI Datasets.docx
Description of
The files in the directory contain training files and test files for
three datasets. Both the training file and the test file are text
files, containing data in tabular format. Each value is a number,
and values are separated by white space. The i-th row and j-th
column contain the value for the j-th dimension of the i-th
object. The only exception is the LAST column, that stores the
class label for each object. Make sure you do not use data from
the last column (i.e., the class labels) as parts of the input
vector.
The datasets are copied from the . Here are some details on each
dataset:
· The pendigits dataset. This dataset contains data for pen-based
recognition of handwritten digits.
· 7494 training objects.
· 3498 test objets.
· 16 dimensions.
· 10 classes.
· The satellite dataset. The full name of this dataset is Statlog
(Landsat Satellite) Data Set, and it contains data for
classification of pixels in satellite images.
· 4435 training objects.
· 2000 test objets.
· 36 dimensions.
· 6 classes.
· The yeast dataset. This dataset contains some biological data
· 1000 training objects.
· 484 test objets.
· 8 dimensions.
· 10 classes.

2. For each dataset, a training file and a test file are provided. The
name of each file indicates what dataset the file belongs to, and
whether the file contains training or test data.
Note that, for the purposes of your assignments, it does not
matter at all where the data come from. The methods that you
are asked to implement should work on all three datasets, as
well as ANY other datasets following the same format.
assignment/data sets/pendigits_test.txt
88 92 2 99 16 66 94 37 70 0 0 24 42 65 100 100 8
80 100 18 98 60 66 100 29 42 0 0 23 42 61 56 98 8
0 94 9 57 20 19 7 0 20 36 70 68 100 100 18 92 8
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68 100 6 88 47 75 87 82 85 56 100 29 75 6 0 0 9
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79 87 98 81 71 100 72 73 100 66 91 21 48 0 0 13 9
92 95 30 100 34 68 87 89 84 78 100 35 64 0 0 19 9
58 64 100 96 27 100 0 63 79 65 91 72 48 36 10 0 9
34 89 3 70 1 25 49 0 100 23 100 67 56 99 0 100 0
0 90 46 100 88 92 79 69 60 48 39 27 47 6 100 0 2

3. 20 71 0 29 31 0 78 12 100 51 84 93 37 100 8 66 0
100 100 67 98 41 80 44 50 78 42 68 16 35 2 0 0 5
91 69 48 57 9 79 60 100 100 75 95 40 64 8 0 0 9
30 74 55 100 89 87 66 56 100 38 92 8 41 0 0 20 3
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4 100 0 72 15 44 79 50 100 76 90 51 83 22 85 0 4
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33 86 0 55 1 12 52 0 90 34 100 76 56 100 6 77 0
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19 100 35 93 0 63 12 36 89 37 100 66 94 33 89 0 4
27 73 81 100 83 91 78 52 62 14 0 0 29 1 100 5 1
77 96 38 100 58 77 99 86 100 50 84 12 43 0 0 0 9

4. 41 84 73 100 100 82 62 60 97 38 91 8 42 0 0 19 3
32 92 24 47 71 36 38 0 0 0 21 48 49 92 100 100 5
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5 97 9 61 37 25 0 0 7 32 56 64 100 96 37 100 8
59 89 42 23 29 42 25 100 100 82 75 46 98 0 0 3 3
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5 70 56 44 60 3 0 0 30 39 84 72 100 100 32 74 8
0 94 68 100 89 68 72 33 43 0 3 21 25 50 100 58 7

5. 100 93 48 100 27 69 30 33 16 0 0 26 41 51 100 58 8
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32 96 70 100 12 95 32 66 89 62 100 22 51 0 0 16 5
79 100 41 82 0 61 23 45 77 37 86 54 86 25 100 0 4
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23 70 51 100 74 82 51 46 20 15 0 4 50 0 100 2 2
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76 100 31 87 1 52 0 14 61 0 100 27 50 42 1 21 6
29 97 0 57 22 10 68 0 100 40 83 90 37 100 12 57 0
53 67 80 44 67 7 0 0 35 36 83 68 100 100 25 80 8
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88 90 18 100 17 66 79 33 49 0 0 28 41 67 100 98 8
75 100 42 78 13 51 0 22 40 0 100 16 88 43 22 35 6
27 82 65 100 100 89 69 62 33 39 0 15 37 1 88 0 2
70 84 11 76 0 91 56 100 99 83 100 55 88 28 75 0 9
88 100 29 100 30 74 85 83 100 67 97 27 57 0 0 5 9
51 54 100 87 36 100 19 62 44 22 2 0 0 37 78 57 8

6. 15 84 0 57 5 17 52 0 95 28 100 67 70 100 20 87 0
0 76 29 95 92 100 81 77 75 56 100 35 85 13 31 0 3
38 65 36 98 100 100 99 69 62 55 96 26 55 0 0 15 3
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53 64 73 100 70 83 67 42 36 11 0 0 49 4 100 9 1
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12 91 48 100 66 77 77 63 100 42 75 15 34 0 0 15 3
100 89 34 100 0 75 76 78 83 62 90 35 85 8 5 0 9
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25 76 0 39 15 0 68 1 98 36 100 76 58 100 7 90 0
0 63 37 44 42 6 1 0 25 36 65 67 100 100 46 80 8
62 100 25 91 0 49 7 2 55 0 92 30 100 78 63 100 0
78 99 21 85 0 50 5 14 59 0 100 27 100 65 79 100 0
76 93 24 100 0 72 58 73 74 74 100 42 92 12 37 0 9
100 100 79 86 62 71 50 57 33 43 21 28 8 14 0 0 1
100 98 71 100 42 88 35 55 59 41 61 16 31 3 0 0 5

7. 27 50 56 89 64 100 55 52 35 9 0 2 52 2 100 0 1
0 67 25 100 49 73 36 33 6 0 1 6 53 3 100 11 2
56 97 15 77 0 35 23 0 70 3 100 36 95 78 54 100 0
100 83 25 100 16 67 58 28 12 0 0 33 65 65 89 91 8
23 97 0 48 17 0 58 3 93 35 100 89 59 100 23 73 0
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17 81 59 100 76 75 53 48 100 44 89 13 40 0 0 20 3
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9 88 22 100 26 65 16 31 0 5 33 1 66 0 100 3 2
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26 94 0 61 6 16 47 0 91 17 100 60 71 95 27 100 0
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34 100 14 83 2 66 0 48 23 34 65 30 91 17 100 0 4
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100 100 55 82 23 54 0 23 33 0 87 15 66 44 11 40 6
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49 100 7 83 0 54 100 60 72 82 51 86 59 36 68 0 4

8. 15 70 48 100 63 89 57 56 67 24 15 1 0 0 100 0 1
0 95 39 100 67 73 53 30 40 0 21 40 53 45 100 40 7
80 100 28 81 44 70 89 82 89 54 100 25 69 4 0 0 9
62 81 100 100 84 91 40 76 67 64 83 26 46 0 0 9 5
45 69 74 100 68 94 57 50 39 9 0 3 50 3 100 0 1
0 89 61 100 100 85 47 65 44 47 98 29 71 4 6 0 3
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32 75 59 100 88 84 72 54 100 38 89 10 39 0 0 19 3
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0 100 52 94 74 60 71 23 55 0 9 21 43 31 100 31 7
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42 98 22 72 75 51 62 0 0 6 23 57 43 100 100 99 5
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100 91 49 100 28 66 55 30 26 0 0 30 50 61 95 90 8
7 59 29 100 31 91 32 46 31 1 0 0 54 1 100 0 1
100 65 92 100 39 93 9 62 0 27 31 0 60 26 19 28 6

9. 86 100 46 83 17 56 0 28 17 1 92 0 100 21 22 16 6
100 100 58 96 20 95 0 62 28 58 66 45 55 11 17 0 5
54 87 85 100 76 71 65 47 100 21 77 0 33 5 0 22 3
52 100 12 74 0 41 12 9 66 0 100 27 98 60 79 93 0
19 76 53 100 92 81 73 40 33 13 0 0 49 5 100 6 2
14 93 0 54 52 31 24 0 2 29 4 78 44 96 100 100 5
61 100 0 72 1 42 79 43 100 67 67 90 56 45 57 0 4
10 98 0 54 7 11 51 0 90 30 100 72 66 100 18 88 0
0 93 41 100 62 75 44 39 26 3 5 0 29 19 100 28 7
97 100 45 84 0 62 2 46 48 41 100 45 58 23 21 0 4
52 87 79 100 79 75 72 49 100 29 76 8 36 0 0 7 3
100 96 2 100 0 65 61 32 37 0 19 32 68 68 64 96 8
18 73 62 100 53 85 53 53 52 20 0 0 8 6 100 6 1
29 100 4 77 0 54 64 53 100 69 71 47 46 24 32 0 4
0 84 3 73 30 98 100 100 90 79 73 48 61 16 59 0 7
45 100 12 79 0 52 62 40 100 56 88 55 78 27 68 0 4
14 72 5 25 39 0 81 20 100 63 75 100 30 98 0 65 0
28 96 98 97 87 95 13 100 34 64 100 45 63 0 0 18 5

10. 0 83 28 96 63 100 72 78 58 54 50 29 65 8 100 0 2
24 96 0 61 7 16 43 0 82 11 100 48 78 86 39 100 0
0 94 33 100 52 83 64 65 77 47 100 30 89 13 52 0 3
39 60 64 100 96 84 69 41 25 12 0 15 50 0 100 4 2
98 89 53 100 12 72 0 27 37 0 86 21 100 63 92 90 0
83 95 6 100 20 65 100 38 83 0 0 12 12 55 36 95 8
3 74 33 100 52 71 33 34 3 2 0 4 51 0 100 1 2
0 79 27 93 60 100 77 80 72 54 64 28 66 4 100 0 2
9 49 42 63 82 85 100 100 76 74 51 48 29 22 0 0 1
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20 57 0 20 40 0 83 23 100 62 87 100 40 88 11 53 0
0 87 18 95 89 100 100 79 64 41 38 0 1 10 52 24 7
0 61 29 88 51 100 43 66 43 32 23 0 11 2 100 3 1
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24 72 50 100 61 64 33 33 0 12 29 19 64 0 100 10 2
83 74 74 100 42 73 51 36 46 0 0 12 35 41 100 54 8
18 74 49 100 53 67 31 31 0 0 13 11 59 2 100 8 2

11. 24 100 24 76 0 45 100 48 100 57 61 65 61 31 67 0 4
24 96 34 62 72 36 37 0 15 40 0 89 50 99 100 100 5
0 66 39 83 100 100 100 82 84 62 68 41 58 20 50 0 1
31 97 100 100 25 94 12 62 48 62 94 33 60 0 0 5 5
57 94 100 100 48 82 24 48 71 64 85 31 54 0 0 1 5
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12. 11 98 0 55 52 36 45 0 17 22 11 72 42 100 100 99 5
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13. 73 100 13 64 66 49 100 93 43 70 0 28 17 0 29 34 8
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14. 86 70 51 100 0 76 78 41 100 0 0 13 40 54 98 80 8
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64 65 100 100 41 85 67 42 64 0 0 16 20 59 81 74 8
0 54 47 78 69 100 53 68 33 35 0 6 31 0 100 7 1
34 99 9 67 52 42 35 0 0 4 19 62 52 97 100 100 5
48 73 27 86 0 48 7 5 53 0 91 27 100 71 66 100 0
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41 93 88 100 86 75 47 53 0 38 5 25 50 10 100 0 2

15. 0 98 49 100 64 89 47 44 42 0 8 37 48 49 100 51 7
0 100 81 100 68 62 34 26 24 0 92 28 100 50 5 46 7
2 88 37 76 87 100 0 93 48 81 95 70 87 34 100 0 9
77 96 27 100 0 67 3 27 42 0 89 12 100 52 88 90 0
100 100 60 90 32 70 11 48 0 23 16 0 44 12 8 6 6
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65 100 33 80 12 57 0 35 6 12 52 0 100 13 58 19 6

16. 100 93 38 100 21 67 85 34 62 0 0 20 50 57 88 93 8
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17. 57 93 18 71 0 34 19 0 64 4 96 34 100 73 69 100 0
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0 75 15 100 47 99 42 69 31 39 30 9 63 0 100 1 2

18. 9 74 32 100 63 84 48 48 12 19 0 13 49 4 100 0 2
62 81 22 80 0 38 23 0 71 4 100 43 84 88 40 100 0
21 66 0 28 27 0 77 14 100 49 88 88 40 100 6 70 0
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4 63 28 100 35 82 28 37 0 6 2 10 51 7 100 0 1
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19. 28 86 38 57 91 37 57 1 0 0 8 62 42 98 100 100 5
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49 80 46 69 65 27 30 0 0 33 49 67 100 100 27 99 8

20. 0 89 33 100 49 54 39 6 16 0 10 36 55 35 100 31 7
6 75 36 97 92 100 69 75 66 51 100 30 54 12 0 0 3
70 97 16 84 0 49 12 14 62 0 95 29 100 65 92 100 0
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48 84 99 100 100 94 53 74 48 44 90 26 55 0 0 1 5
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0 97 51 100 65 88 46 44 42 0 9 29 40 34 100 40 7
39 88 0 66 68 60 68 15 8 0 19 47 31 95 100 100 5
100 81 54 100 0 72 43 36 66 0 26 24 67 61 95 91 8
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14 85 54 100 100 96 72 72 87 41 92 10 47 0 0 3 3
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25 70 40 100 68 81 47 46 18 14 0 0 53 3 100 12 2
41 100 58 60 70 19 1 0 0 35 60 65 100 95 25 84 8
67 100 27 73 4 41 6 6 60 0 100 24 52 37 0 22 6
53 92 100 100 66 94 40 66 49 39 87 18 48 0 0 4 5

21. 81 80 53 100 43 73 87 88 100 59 88 16 46 0 0 0 9
0 86 42 100 84 84 83 42 78 0 45 15 49 41 100 48 7
0 88 45 100 81 79 80 43 72 7 58 0 47 23 100 24 7
56 97 24 69 100 58 96 17 25 0 5 42 0 85 75 100 5
30 100 21 86 0 58 32 36 80 43 100 61 91 30 89 0 4
31 100 2 56 12 3 60 0 100 35 91 85 42 90 0 60 0
41 93 32 64 32 23 0 0 0 32 51 56 100 82 58 100 8
4 64 27 100 31 83 26 39 0 8 5 3 52 2 100 0 1
0 74 68 69 90 100 13 91 42 70 100 77 83 39 79 0 9
0 100 46 98 95 82 95 41 84 0 49 9 45 22 100 28 7
47 100 31 76 0 45 63 50 100 64 92 61 94 28 96 0 4
14 90 65 100 100 84 57 65 71 53 91 26 56 3 0 0 3
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20 82 71 100 100 96 41 87 10 71 62 48 54 0 0 0 5
100 91 75 100 47 79 39 45 73 40 78 13 41 0 0 0 5
18 75 51 100 65 72 41 35 8 3 0 0 50 6 100 15 2

22. 13 96 0 71 78 61 82 12 7 0 4 49 15 97 100 100 5
74 100 47 84 0 66 23 53 84 42 100 44 60 23 33 0 4
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72 74 63 100 0 78 67 42 100 0 15 4 38 47 95 80 8
57 100 84 99 79 71 68 47 100 30 77 9 38 0 0 3 3
0 75 15 100 47 91 41 64 27 38 16 11 53 1 100 0 2
1 61 11 100 19 66 2 27 0 1 33 0 66 1 100 3 2
21 64 34 100 39 92 41 55 41 18 0 1 34 0 100 1 1
78 75 51 100 8 75 47 58 85 60 100 20 64 0 0 1 9
0 82 33 100 77 89 87 57 72 25 53 0 51 27 100 24 7
12 98 56 100 54 67 33 33 10 0 0 34 39 44 100 44 7
0 88 35 100 55 68 49 27 38 0 19 32 59 40 100 45 7
100 100 54 91 22 66 0 40 3 13 54 0 81 23 24 31 6
31 94 0 62 2 17 40 0 78 20 100 60 80 98 37 100 0
46 100 11 80 0 55 51 43 100 62 81 48 65 24 73 0 4
24 84 2 39 26 0 77 10 100 53 84 97 33 100 0 63 0
0 56 32 78 78 98 100 100 85 75 76 50 73 24 76 0 1

23. 6 97 62 100 89 70 62 34 42 0 100 25 76 40 0 36 7
48 81 5 96 53 100 55 68 24 38 0 7 48 0 100 2 2
78 72 60 100 24 68 69 32 57 0 0 29 36 67 100 98 8
62 100 13 81 0 50 100 56 77 78 57 88 62 35 65 0 4
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5 58 39 100 47 99 41 42 12 0 0 5 55 4 100 6 1
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27 69 0 35 8 0 60 12 90 44 100 81 57 100 13 80 0
0 61 34 81 84 100 100 94 84 71 70 47 55 24 48 0 1
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19 86 0 47 5 4 50 0 90 29 100 70 68 100 35 75 0

24. 19 92 38 100 59 68 44 31 18 0 0 35 50 39 100 45 7
0 33 35 52 66 75 96 100 100 96 79 66 61 33 49 0 1
13 78 77 78 74 100 0 89 49 78 99 71 91 35 100 0 9
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100 100 72 81 55 55 45 27 48 0 72 5 36 18 0 12 6
67 100 39 88 10 56 0 20 44 0 100 12 92 38 31 37 6
63 100 33 90 5 56 10 18 61 0 100 22 46 36 0 16 6
0 77 32 100 83 79 89 39 68 0 27 0 33 23 100 25 7
100 96 60 100 22 79 0 51 1 21 34 0 67 16 27 34 6
70 96 26 100 3 64 0 24 40 0 88 14 100 52 86 92 0
0 44 11 72 48 93 98 100 100 74 70 50 64 27 82 0 3
51 90 100 100 73 93 42 67 81 46 96 14 49 0 0 6 5
100 100 61 90 13 72 0 54 52 38 93 43 52 23 24 0 4
38 86 66 100 100 94 70 74 71 39 70 7 35 0 0 3 3
6 76 44 71 89 100 0 95 27 79 100 81 91 40 97 0 9
0 88 53 100 100 92 66 62 37 30 35 0 7 32 62 36 7
0 70 32 100 87 94 99 54 92 13 55 0 42 20 100 27 7

25. 9 84 44 100 67 78 27 55 83 44 100 14 48 0 0 3 3
11 72 45 100 100 98 90 60 49 31 0 10 15 2 74 0 2
61 92 100 100 74 85 55 51 92 36 78 2 38 0 0 11 5
23 68 46 100 46 85 47 48 43 12 0 0 54 4 100 2 1
0 96 51 100 100 96 70 63 49 27 32 0 16 36 69 51 …
Human rights
Instructions:Has the country been charged with any Human
Rights violations? Are there any questionable practices
regarding human rights? Does the country have its own human
rights standards? Is the country exemplary in its treatment of
human rights issues? Has the country adopted the UN’s Human
Rights agreement?
Environmental pollution
Instructions: Review international protocols or accords that the
country has agreed to and any specific regional or national
environmental standards the country has put into place. State,
briefly, penalties for violation of environmental protection.
Corruption
Bribery.
Instructions:Research and report national rules regarding
bribery in the country.
Punishment for violations.
Instructions: Report specific penalties for violating bribery
rules.